---
title: "flexdashboard demo"
output:
flexdashboard::flex_dashboard:
orientation: rows
vertical_layout: fill
social: menu
source_code: embed
---
```{r setup, include=FALSE}
library(flexdashboard)
library(ggplot2)
library(plotly)
library(plyr)
```
第一页gauge
=======================================================================
Row
-----------------------------------------------------------------------
### 数据表
```{r}
library(DT)
datatable(iris)
```
### summary
```{r cars}
summary(cars)
```
Row
-----------------------------------------------------------------------
### 压力图
```{r}
plot(pressure)
```
### 交互图
```{r}
library(plotly)
p <- plot_ly(iris, x = ~Sepal.Width, y = ~Sepal.Length)
add_markers(p, color = ~Petal.Length, size = ~Petal.Length)
```
Row
-----------------------------------------------------------------------
### geom_density and facet_wrap Together
```{r}
dd<-data.frame(matrix(rnorm(144, mean=2, sd=2),72,2),c(rep("A",24),rep("B",24),rep("C",24)))
colnames(dd) <- c("x_value", "Predicted_value", "State_CD")
dd <- data.frame(
predicted = rnorm(72, mean = 2, sd = 2),
state = rep(c("A", "B", "C"), each = 24)
)
grid <- with(dd, seq(min(predicted), max(predicted), length = 100))
normaldens <- ddply(dd, "state", function(df) {
data.frame(
predicted = grid,
density = dnorm(grid, mean(df$predicted), sd(df$predicted))
)
})
p <- ggplot(dd, aes(predicted)) +
geom_density() +
geom_line(aes(y = density), data = normaldens, colour = "red") +
facet_wrap(~ state)
ggplotly(p)
```
### Density and Scatterplot Overlay Using geom_density
```{r}
df <- data.frame(x <- rchisq(1000, 10, 10),
y <- rnorm(1000))
p <- ggplot(df, aes(x, y)) +
geom_point(alpha = 0.5) +
geom_density_2d() +
theme(panel.background = element_rect(fill = '#ffffff'))
ggplotly(p)
```
